Face Recognition Application for Windows

25% of the total amount will be given to you after you complete 50% of the total work. No amount will be increased for this project at any cost. No project will be awarded or no milestone will be released without checking your work on my project. 1. Our app could be used for eKYC verification using Aadhaar Card Number, PAN Number, Voter Card, Driving License. 2. Where we will upload the image or small video of the i.d card holder into the database and one i.d proof of that person, then app should be able to detect the face of the person and verify that person's photo and his photo i.d proof is same or not also also we have thousands of photos and their profiles in the database In Which if we search any name, Parentage or Nickname it shows us the particular results of that person or profile. 3. We will connect our face detection app with our web app database. We want that whenever we upload any photo in our app, it will directly search that photo or similar face from our existing database and show us the results that this person exits in our database with that particular profile. There should the complete details of that particular photo like name, father name, address and other details whatever exits in our database. 4. App should be able to detect colors, weather, activities and moments also through live CCTV Camera feed. Our users should be able to use this technology to find suspects within sometime of an incident, out of thousands of hours of footage from diverse camera feeds. This same accuracy is now available to your home and business customers to make their own video footage more useful, usable and relevant. 5. We should be able to have the automatic ability to classify and refine query results by object types, such as people, vehicles, packages, etc. Users should be able to submit queries such as “show me trucks” or “show me people wearing red.” 6. Every new feature creates superb differentiated value, unique to each partner’s needs. [login to view URL] review This should not be fast forward: it’s all in one rapid video review. [login to view URL] scheduling Proactive rapid video review to “know what you didn’t know before” 9. Deep drill down We should be able to Search the day in minutes. Select events and access the original video in a single click. 10. Alert configuration It should Send notification of unusual activity. 11. Gain insights There should be a feature of Graphic visualisation of data analysis (heat maps, pathways, bar graphs, etc.) 13. Share clips Users should be able to One-click export of video clips to email or social media. 14. Filtering out noise to know what’s important. To limit the false detection of new objects in a frame, we’ve learned how to filter out the movements in the environment – such as branches, shadows, reflections, waves and clouds. Lighting conditions and weather conditions for example (you’d be surprised how snow and rain impacts the accuracy of computer vision!). 15. We can identify very small subtle objects, down to the level of small creature. and, while an object in the frame that is appearing against a background of the same color is a difficult task – over the years, our detection has become very sensitive to subtle differences in color and texture. 16. If a person “disappears” from the frame for a period of several seconds, as they pass behind a car or a tree, we detect that and treat it as one incident. If the person goes in and out of the frame boundaries, we treat it as separate object incidents. 17. For example, if you have an ID badge system in your small business application, we can pair that information to video. The same goes with audio feeds, motion sensors, smoke detectors and more. There should be an admin account and user account. Admin should be able to monitor any user account paralleled. Admin should have rights to add or remove any user. There should be a key from Admin side and after submitting that key only, user account will be activated. If you have developed such app then? its very simple modification in ur app for you. After you do this you will have to create a dummy database and connect it in the background of the app. From frontend we will upload some photo or small video of some person and app's frontend will send request to backend database and if that kind of matching photo have in our database in the backend then app will show its result on our screen stating the details of that person. Like his photo, name, address and contact details.